Integrated multi‐omic data and analyses reveal the pathways underlying key ornamental traits in carnation flowers - Archive ouverte HAL
Article Dans Une Revue Plant Biotechnology Journal Année : 2022

Integrated multi‐omic data and analyses reveal the pathways underlying key ornamental traits in carnation flowers

Résumé

Carnation (Dianthus caryophyllus) is one of the most popular ornamental flowers in the world. Although numerous studies on carnations exist, the underlying mechanisms of flower color, fragrance, and the formation of double flowers remain unknown. Here, we employed an integrated multi-omics approach to elucidate the genetic and biochemical pathways underlying the most important ornamental features of carnation flowers. First, we assembled a high-quality chromosome-scale genome (636 Mb with contig N50 as 14.67 Mb) of D. caryophyllus, the 'Scarlet Queen'. Next, a series of metabolomic datasets was generated with a variety of instrumentation types from different parts of the flower at multiple stages of development to assess spatial and temporal differences in the accumulation of pigment and volatile compounds. Finally, transcriptomic data were generated to link genomic, biochemical, and morphological patterns to propose a set of pathways by which ornamental traits such as petal coloration, double flowers, and fragrance production are formed. Among them, the transcription factors bHLHs, MYBs, and a WRKY44 homolog are proposed to be important in controlling petal color patterning and genes such as coniferyl alcohol acetyltransferase and eugenol synthase are involved in the synthesis of eugenol. The integrated dataset of genomics, transcriptomics, and metabolomics presented herein provides an important foundation for understanding the underlying pathways of flower development and coloration, which in turn can be used for selective breeding and gene editing for the development of novel carnation cultivars.

Dates et versions

hal-03768164 , version 1 (02-09-2022)

Identifiants

Citer

Xiaoni Zhang, Shengnan Lin, Dan Peng, Quanshu Wu, Xuezhu Liao, et al.. Integrated multi‐omic data and analyses reveal the pathways underlying key ornamental traits in carnation flowers. Plant Biotechnology Journal, 2022, 20 (6), pp.1182-1196. ⟨10.1111/pbi.13801⟩. ⟨hal-03768164⟩
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